Deep Learning-Based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia

December 2021 in “ Acta dermato-venereologica ”

Meng Gao, Yue Wang, Haipeng Xu, Congcong Xu, Xue Yang, Jin Nie, Ziye Zhang, Zhixuan Li, Wei Hou, Yiqun Jiang

deep learning trichoscopic image analysis androgenetic alopecia convolutional neural network hair density hair diameter distribution alopecia classifications quantitative model ordinal logistic regression male pattern baldness

Studysummary This study developed a deep learning framework and quantitative model that accurately predict basic and specific classification in male androgenetic alopecia by analyzing trichoscopic images.

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Research cited in this study

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research Androgenetic Alopecia: A Review

153 citations , March 2017 in “Endocrine”

This review examines recent advances in understanding the pathophysiology and molecular mechanisms of androgenetic alopecia, highlighting two major genetic risk loci, but does not report new clinical findings.

research Contribution of Hair Density and Hair Diameter to the Appearance and Progression of Androgenetic Alopecia in Japanese Men

21 citations , July 2014 in “British Journal of Dermatology”

In this study, hair loss in Japanese men with androgenetic alopecia was found to be primarily due to hair follicle miniaturization rather than hair shedding, particularly in those aged 25 and older.

research Automated Digital Image Analysis (TrichoScan) for Human Hair Growth Analysis: Ease Versus Errors

21 citations , January 2010 in “International Journal of Trichology”

This study concluded that TrichoScan is error-prone in its current form and overestimates certain hair growth parameters, with results not aligning with clinical severity of alopecia.

research A New Classification of Pattern Hair Loss That Is Universal for Men and Women: Basic and Specific (BASP) Classification

125 citations , May 2007 in “Journal of The American Academy of Dermatology”

This study describes the development of the BASP classification system, providing a universal and systematic approach for classifying pattern hair loss in both men and women.

research Critical Study of Hair Growth Analysis with Computer-Assisted Methods

40 citations , April 2006 in “Journal of the European Academy of Dermatology and Venereology”

This study reported that Trichoscan, a computer-assisted hair measurement system, was not supported as accurate for clinical trials due to errors in signal detection, despite its analysis speed.

research Androgenetic Alopecia: Pathogenesis and Potential for Therapy

174 citations , November 2002 in “Expert Reviews in Molecular Medicine”

This review discusses the genetic factors contributing to androgenetic alopecia and highlights the potential for developing more effective therapies based on recent discoveries, but reports no new clinical results.

research Diagnostic and Predictive Value of Horizontal Sections of Scalp Biopsy Specimens in Male Pattern Androgenetic Alopecia

309 citations , May 1993 in “Journal of The American Academy of Dermatology”

This study concluded that horizontal sections of scalp biopsy specimens provide more diagnostic information for male pattern androgenetic alopecia than vertical sections and can predict hair regrowth potential following topical minoxidil therapy.

research Natural Progression of Male Pattern Baldness in Young Men

71 citations , May 1991 in “Clinical and Experimental Dermatology”

Young men with male pattern baldness lose hair density over time without treatment.